package com.pxxy.mall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.pxxy.common.to.es.SkuEsModel;
import com.pxxy.common.utils.R;
import com.pxxy.mall.search.config.MallElasticSearchConfig;
import com.pxxy.mall.search.constant.EsConstant;
import com.pxxy.mall.search.service.MallSearchService;
import com.pxxy.mall.search.vo.SearchParam;
import com.pxxy.mall.search.vo.SearchResult;
import lombok.AllArgsConstructor;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import org.springframework.util.SocketUtils;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @Author zhangjj
 * @since 2024/1/27
 */
@Service
@AllArgsConstructor
public class MallSearchServiceImpl implements MallSearchService {
    private RestHighLevelClient client;

    @Override
    public SearchResult search(SearchParam searchParam) {
        SearchResult result = null;

        SearchRequest searchRequest = buildSearchRequest(searchParam);
        System.out.println("打印：" + searchRequest);

        try {
            SearchResponse response = client.search(searchRequest, MallElasticSearchConfig.COMMON_OPTIONS);
            System.out.println("打印response" + response);

            result = buildSearchResult(response, searchParam);
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
        return result;
    }

    /**
     * 构建结果数据
     *
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        //1、返回的所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
            ;
        }
        result.setProducts(esModels);
        //2、当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1、得到属性的 id
            long attrId = bucket.getKeyAsNumber().longValue();
            //2、得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            //3、得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
        //3、当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1、得到品牌的 id
            long brandId = bucket.getKeyAsNumber().longValue();
            //2、得到品牌的名
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            //3、得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        //4、当前所有商品涉及到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            //得到分类 id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            //得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        // ========以上从聚合信息中获取======
        //   //5、分页信息-页码
        result.setPageNum(param.getPageNum());
        //   //5、分页信息-总记录树
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //   //5、分页信息-总页码-计算 11/2 = 5 .. 1
        int totalPages = (int) total % EsConstant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGESIZE : ((int) total / EsConstant.PRODUCT_PAGESIZE + 1);
        result.setTotalPage(totalPages);
        //        List<Integer> pageNavs = new ArrayList<>();
        //        for (int i = 1; i <= totalPages; i++) {
        //            pageNavs.add(i);
        //        }
        //        result.setPageNavs(pageNavs);
        //         //6、构建面包屑导航功能
        //        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
        //            List<SearchResult.NavVo> collect =
        //                    param.getAttrs().stream().map(attr -> {
        //                         //1、分析每个 attrs 传过来的查询参数值。
        //                        SearchResult.NavVo navVo = new SearchResult.NavVo();
        //                         // attrs=2_5 存:6 寸
        //                        String[] s = attr.split("_");
        //                        navVo.setNavValue(s[1]);
        //                        R r = productFeignService.attrInfo(Long.parseLong(s[0]));
        //                        result.getAttrIds().add(Long.parseLong(s[0]));
        //                        if (r.getCode() == 0) {
        //                            AttrResponseVo data = r.getData("attr", new
        //                                    TypeReference<AttrResponseVo>() {
        //                                    });
        //                            navVo.setNavName(data.getAttrName());
        //                        } else {
        //                            navVo.setNavName(s[0]);
        //                        }
        //                         //
        //                         //2、取消了这个面包屑以后，我们要跳转到那个地方.将请求地址的 url
        //                        里面的当前置空
        //                         //拿到所有的查询条件，去掉当前。
        //                         //attrs= 15_海思（Hisilicon）
        //                        String replace = replaceQueryString(param, attr, "attrs");
        //                        navVo.setLink("http:  //search.gulimall.com/list.html?" + replace);
        //                        return navVo;
        //                    }).collect(Collectors.toList());
        //            result.setNavs(collect);
        //        }
        //         //品牌，分类
        //        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
        //            List<SearchResult.NavVo> navs = result.getNavs();
        //            SearchResult.NavVo navVo = new SearchResult.NavVo();
        //            navVo.setNavName("品牌");
        //             //TODO 远程查询所有品牌
        //            R r = productFeignService.brandsInfo(param.getBrandId());
        //            if (r.getCode() == 0) {
        //                List<BrandVo> brand = r.getData("brand", new
        //                        TypeReference<List<BrandVo>>() {
        //                        });
        //                StringBuffer buffer = new StringBuffer();
        //                String replace = "";
        //                for (BrandVo brandVo : brand) {
        //                    buffer.append(brandVo.getBrandName() + ";");
        //                    replace = replaceQueryString(param,
        //                            brandVo.getBrandId() + "", "brandId");
        //                }
        //                navVo.setNavValue(buffer.toString());
        //                navVo.setLink("http:  //search.gulimall.com/list.html?" + replace);
        //            }
        //            navs.add(navVo);
        //        }
        //TODO 分类：不需要导航取消
        return result;
    }

    //    private String replaceQueryString(SearchParam param, String value, String key) {
    //        String encode = null;
    //        try {
    //            encode = URLEncoder.encode(value, "UTF-8");
    //            encode = encode.replace("+", "%20");  //浏览器对空格编码和 java 不一样
    //        } catch (UnsupportedEncodingException e) {
    //            e.printStackTrace();
    //        }
    //        return param.get_queryString().replace("&" + key + "=" + encode, "");
    //    }

    /**
     * 构建查询条件
     *
     * @param param
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //构建DSL 语句的
        /**
         * 查询：过滤（按照属性，分类，品牌，价格区间，库存）
         */
        //1、构建 bool - query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1、must-模糊匹配，
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2、bool - filter - 按照三级分类 id 查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //1.2、bool - filter - 按照品牌 id 查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //1.2、bool - filter - 按照所有指定的属性进行查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            for (String attrStr : param.getAttrs()) {
                //attrs=1_5 寸:8 寸&attrs=2_16G:8G
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                //attr = 1_5 寸:8 寸
                String[] s = attrStr.split("_");
                String attrId = s[0];  //检索的属性 id
                String[] attrValues = s[1].split(":");  //这个属性的检索用的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个必须都得生成一个 nested 查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }
        //1.2、bool - filter - 按照库存是否有进行查询
        if (param.getHasStock() != null) {
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }
        //1.2、bool - filter - 按照价格区间
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            //1_500/_500/500_
            /**
             * "range": {
             * "skuPrice": {
             * "gte": 0,
             * "lte": 6000
             * }
             * }
             */
            RangeQueryBuilder rangeQuery =
                    QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                //区间
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        //把以前的所有条件都拿来进行封装
        sourceBuilder.query(boolQuery);
        /**
         * 排序，分页，高亮，
         */
        //2.1、排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            //sort=hotScore_asc/desc
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        //2.2、分页 pageSize:5
        // pageNum:1 from:0 size:5 [0,1,2,3,4]
        // pageNum:2 from:5 size:5
        //from = (pageNum-1)*size
        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        //2.3、高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }
        /**
         * 聚合分析
         */
        //1、品牌聚合
        TermsAggregationBuilder brand_agg =
                AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        //品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        //TODO 1、聚合 brand
        sourceBuilder.aggregation(brand_agg);
        //2、分类聚合 catalog_agg
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        //TODO 2、聚合 catalog
        sourceBuilder.aggregation(catalog_agg);
        //3、属性聚合 attr_agg
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合出当前所有的 attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //聚合分析出当前 attr_id 对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //聚合分析出当前 attr_id 对应的所有可能的属性值 attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        //TODO 3、聚合 attr
        sourceBuilder.aggregation(attr_agg);
        String s = sourceBuilder.toString();
        System.out.println("构建的 DSL" + s);
        SearchRequest searchRequest = new SearchRequest(new
                String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }
}
